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基于闭塞区间的高速列车运行时间与节能协同优化方法

赵辉 代学武

赵辉, 代学武. 基于闭塞区间的高速列车运行时间与节能协同优化方法. 自动化学报, 2020, 46(3): 471−481 doi: 10.16383/j.aas.c190200
引用本文: 赵辉, 代学武. 基于闭塞区间的高速列车运行时间与节能协同优化方法. 自动化学报, 2020, 46(3): 471−481 doi: 10.16383/j.aas.c190200
Zhao Hui, Dai Xue-Wu. Cooperative optimization method for high-speed trains running time and energy saving based on block sections. Acta Automatica Sinica, 2020, 46(3): 471−481 doi: 10.16383/j.aas.c190200
Citation: Zhao Hui, Dai Xue-Wu. Cooperative optimization method for high-speed trains running time and energy saving based on block sections. Acta Automatica Sinica, 2020, 46(3): 471−481 doi: 10.16383/j.aas.c190200

基于闭塞区间的高速列车运行时间与节能协同优化方法

doi: 10.16383/j.aas.c190200
基金项目: 国家自然科学基金(61790574, 61773111, U1834211), 中国国家铁路集团有限公司科技研究开发计划课题(N2019G020)资助
详细信息
    作者简介:

    赵辉:东北大学博士研究生. 分别于2014年和2016年获得大连海事大学学士和硕士学位. 主要研究方向为智能交通系统, 高速列车调度与控制. E-mail: zhaohui_209@163.com

    代学武:东北大学流程工业综合自动化国家重点实验室教授. 主要研究方向为动态系统鲁棒状态估计, 无线传感测量与控制, 状态监测, 及其在工业物联网、高铁调度等领域的应用. 本文通信作者. E-mail: daixuewu@mail.neu.edu.cn

Cooperative Optimization Method for High-speed Trains Running Time and Energy Saving Based on Block Sections

Funds: Supported by National Natural Science Foundation of China (61790574, 61773111, U1834211) and Science and Technology Project of China National Railway Group Co., Ltd. (N2019G020)
  • 摘要: 提出了一种高速列车运行时间与节能协同优化方法. 针对由动态调度层、优化控制层、跟踪控制层组成的列车运行控制与动态调度一体化结构, 设计了面向动态调度层和优化控制层的列车运行时间调整策略和节能速度位置曲线. 基于高速铁路闭塞区间, 建立了列车 − 区间模型和列车速度曲线节能优化模型. 利用模型预测控制方法对列车区间运行时间进行调整, 优化列车总延误时间; 根据调整后的区间运行时间设计列车运行优化速度位置曲线, 减少列车运行能耗. 仿真算例验证了设计的运行时间与节能协同优化策略的有效性.
  • 图  1  动态调度和运行控制一体化结构图

    Fig.  1  Integrated structure diagram of dynamic rescheduling and operation control

    图  2  列车11在区间分界点延误时间

    Fig.  2  Delay time of train 11 at section demarcation point

    图  4  列车16在区间分界点延误时间

    Fig.  4  Delay time of train 16 at section demarcation point

    图  3  列车13在区间分界点延误时间

    Fig.  3  Delay time of train 13 at section demarcation point

    图  5  列车13优化速度位置曲线

    Fig.  5  The optimal speed-position trajectory of train 13

    图  6  速度位置曲线跟踪效果图

    Fig.  6  Tracking performance of speed-position trajectory

    图  7  跟踪效果局部放大图

    Fig.  7  Partial enlarged detail of tracking performance

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出版历程
  • 收稿日期:  2019-03-20
  • 录用日期:  2019-08-15
  • 网络出版日期:  2020-03-30
  • 刊出日期:  2020-03-30

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